PHPCLANCHILDES with regular expressions

5 matches in 1 utterance

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,447 words searched).

  1. oup oup oup oup oup atten(tion) [//] xxx attention [/] attention [>] . MOT · french/lyon_mar22b.cha, line 1811 · Marie 2;01
  2. oup oup oup oup oup atten(tion) [//] xxx attention [/] attention [>] . MOT · french/lyon_mar22b.cha, line 1811 · Marie 2;01
  3. oup oup oup oup oup atten(tion) [//] xxx attention [/] attention [>] . MOT · french/lyon_mar22b.cha, line 1811 · Marie 2;01
  4. oup oup oup oup oup atten(tion) [//] xxx attention [/] attention [>] . MOT · french/lyon_mar22b.cha, line 1811 · Marie 2;01
  5. oup oup oup oup oup atten(tion) [//] xxx attention [/] attention [>] . MOT · french/lyon_mar22b.cha, line 1811 · Marie 2;01
  1. french/lyon_mar22b.cha, line 1811 · Marie, 2;1.13
    CHI‹mh [<]› . 1372031_1376993
    CHInon . 1376993_1377861
    MOT*MOT: oup oup oup oup oup atten(tion) [//] xxx attention [/] attention [>] .
    CHI‹non [<]› . 1377858_1380878
    CHI‹non [/]› ‹non [/]› ‹non [/]› ‹non [/]› ‹non [/]› yyy <non non> [>] .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Marie french3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar22b.chaMarie 2;1.131,447153.46

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. oup5 · 100.0%